The AI hype the train is in full swing. Currently, it is difficult to name an industry that is not affected by this disruptive technology. Startups feel these waves of hype like no one else as demands on inventors increase and competition intensifies.
It is becoming increasingly difficult for startups to raise investment without any element of AI in their product. So far, the ChatGPT integration – relatively simple, affordable and fast – has been enough to keep up the race and capture market share. But it seems that will no longer be the case.
Soon, making a statement will require more than just plugging in an open source model.
Venture capitalists are already emphasizing the importance of adding value to startups, not just using a ChatGPT API.
Okay, but how can we provide this added value?
As the CEO of a product development company, I advised clients on AI integration solutions and brought more value to their applications. I will explain and share tips for bringing additional value to an AI-based product by refining open fundamental models.
Why simply adopting a founding model is no longer an advantage
With the dynamic rise of AI, winning investment is a challenge for startups lacking involvement in AI. This has led to the influx of “ChatGPT wrappers” – applications that parasitize the core model and provide no value in terms of technological novelty or user flow. Venture capital firms are already overwhelmed by the influx of “ChatGPT for X” startups, calling them solutions unlikely to survive in a year or two.
Venture capitalists are already emphasizing the importance of adding value to startups, not just using a ChatGPT API.
Yet neglecting to take advantage of the AI race could be a strategic mistake. To succeed, you need to be ahead of the curve, delivering value-added technology that complements core models and provides competitive advantages. Refining an AI model using collected or synthetic data can provide a competitive advantage for your startup.
How to add value to your AI-powered startup through fine-tuning
When looking at how to involve AI in your product, there are several ways to go about it. Here are the main ones:
